pyaudio:录制并保存系统声音+绘制频谱

本文主要是介绍pyaudio:录制并保存系统声音+绘制频谱，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

pyaudio INSTALL

sudo apt install python3-pyaudio

$ sudo apt install python3-pyaudio 
正在读取软件包列表... 完成
正在分析软件包的依赖关系树... 完成
正在读取状态信息... 完成                 
有一些软件包无法被安装。如果您用的是 unstable 发行版，这也许是
因为系统无法达到您要求的状态造成的。该版本中可能会有一些您需要的软件
包尚未被创建或是它们已被从新到(Incoming)目录移出。
下列信息可能会对解决问题有所帮助：下列软件包有未满足的依赖关系：python3-pyaudio : 依赖: python3 (< 3.6) 但是 3.10.6-1~22.04 正要被安装
E: 无法修正错误，因为您要求某些软件包保持现状，就是它们破坏了软件包间的依赖关系。

conda install PyAudio

$ conda install PyAudio #这个并不需要python3 (< 3.6)
Collecting package metadata (current_repodata.json): done
Solving environment: done## Package Plan ##environment location: /home/pdd/anaconda3/envs/myaudioadded / updated specs:- pyaudioThe following packages will be downloaded:package                    |            build---------------------------|-----------------portaudio-19.6.0           |       h7b6447c_4         114 KB  defaultspyaudio-0.2.11             |   py35h14c3975_1          64 KB  defaults------------------------------------------------------------Total:         178 KBThe following NEW packages will be INSTALLED:portaudio          anaconda/pkgs/main/linux-64::portaudio-19.6.0-h7b6447c_4 Nonepyaudio            anaconda/pkgs/main/linux-64::pyaudio-0.2.11-py35h14c3975_1 NoneProceed ([y]/n)? yDownloading and Extracting Packages
portaudio-19.6.0     | 114 KB    | ####################################################################################################### | 100% 
pyaudio-0.2.11       | 64 KB     | ####################################################################################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Retrieving notices: ...working... done

使用`pyaudio`保存音频到wav文件

import pyaudio
import wavedef record_and_save_wav(filename, duration=5, sample_rate=44100, channels=2, format=pyaudio.paInt16):p = pyaudio.PyAudio()# 打开音频流stream = p.open(format=format,channels=channels,rate=sample_rate,input=True,frames_per_buffer=1024)print("Recording...")frames = []# 录制音频for i in range(0, int(sample_rate / 1024 * duration)):data = stream.read(1024)frames.append(data)print("Finished recording.")# 停止和关闭音频流stream.stop_stream()stream.close()p.terminate()# 将录制的音频保存为wav文件with wave.open(filename, 'wb') as wf:wf.setnchannels(channels)wf.setsampwidth(p.get_sample_size(format))wf.setframerate(sample_rate)wf.writeframes(b''.join(frames))# 指定保存的文件名和录制的时长
filename = "output.wav"
record_and_save_wav(filename, duration=5)

使用`pyaudio`绘制频谱

在这里插入图片描述

# 代码来自https://github.com/sbarratt/spectrum-analyzer/blob/master/sa.py，略有修改
import pyaudio
import struct
import math
import sys
import numpy as np
import IPython as ipyimport pyqtgraph as pg
from PyQt5 import QtWidgets  
from pyqtgraph.Qt import QtGui, QtCore# Audio Format (check Audio MIDI Setup if on Mac)
FORMAT = pyaudio.paInt16
RATE = 44100
CHANNELS = 2# Set Plot Range [-RANGE,RANGE], default is nyquist/2
RANGE = None
if not RANGE:RANGE = RATE/2# Set these parameters (How much data to plot per FFT)
INPUT_BLOCK_TIME = 0.05
INPUT_FRAMES_PER_BLOCK = int(RATE*INPUT_BLOCK_TIME)# Which Channel? (L or R)
LR = "l"class SpectrumAnalyzer():def __init__(self):self.pa = pyaudio.PyAudio()self.initMicrophone()self.initUI()def find_input_device(self):device_index = None            for i in range(self.pa.get_device_count()):     devinfo = self.pa.get_device_info_by_index(i)if devinfo["name"].lower() in ["mic","input"]:device_index = ireturn device_indexdef initMicrophone(self):device_index = self.find_input_device()self.stream = self.pa.open(	format = FORMAT,channels = CHANNELS,rate = RATE,input = True,input_device_index = device_index,frames_per_buffer = INPUT_FRAMES_PER_BLOCK)def readData(self):block = self.stream.read(INPUT_FRAMES_PER_BLOCK)count = len(block)/2format = "%dh"%(count)shorts = struct.unpack( format, block )if CHANNELS == 1:return np.array(shorts)else:l = shorts[::2]r = shorts[1::2]if LR == 'l':return np.array(l)else:return np.array(r)def initUI(self):self.app = QtWidgets.QApplication([]) # self.app = QtGui.QApplication([])self.app.quitOnLastWindowClosed()self.mainWindow = QtWidgets.QMainWindow()self.mainWindow.setWindowTitle("Spectrum Analyzer")self.mainWindow.resize(800,300)self.centralWid = QtWidgets.QWidget()self.mainWindow.setCentralWidget(self.centralWid)self.lay = QtWidgets.QVBoxLayout()self.centralWid.setLayout(self.lay)self.specWid = pg.PlotWidget(name="spectrum")self.specItem = self.specWid.getPlotItem()self.specItem.setMouseEnabled(y=False)self.specItem.setYRange(0,1000)self.specItem.setXRange(-RANGE,RANGE, padding=0)self.specAxis = self.specItem.getAxis("bottom")self.specAxis.setLabel("Frequency [Hz]")self.lay.addWidget(self.specWid)self.mainWindow.show()self.app.aboutToQuit.connect(self.close)def close(self):self.stream.close()sys.exit()def get_spectrum(self, data):T = 1.0/RATEN = data.shape[0]Pxx = (1./N)*np.fft.fft(data)f = np.fft.fftfreq(N,T)Pxx = np.fft.fftshift(Pxx)f = np.fft.fftshift(f)return f.tolist(), (np.absolute(Pxx)).tolist()def mainLoop(self):while 1:# Sometimes Input overflowed because of mouse events, ignore thistry:data = self.readData()except IOError:continuef, Pxx = self.get_spectrum(data)self.specItem.plot(x=f,y=Pxx, clear=True)QtWidgets.QApplication.processEvents()if __name__ == '__main__':sa = SpectrumAnalyzer()sa.mainLoop()

使用`pyaudio`绘制频谱+悬浮窗口

添加到 setWindowFlags 中的标志，确保窗口保持在其他窗口之上。这样，即使焦点切换到其他窗口，悬浮窗口仍然会保持在顶部。

在这里插入图片描述

import pyaudio
import struct
import math
import sys
import numpy as np
import IPython as ipyimport pyqtgraph as pg
from PyQt5 import QtWidgets  
from pyqtgraph.Qt import QtGui, QtCore
from PyQt5.QtCore import Qt# Audio Format (check Audio MIDI Setup if on Mac)
FORMAT = pyaudio.paInt16
RATE = 44100
CHANNELS = 2# Set Plot Range [-RANGE,RANGE], default is nyquist/2
RANGE = None
if not RANGE:RANGE = RATE/2# Set these parameters (How much data to plot per FFT)
INPUT_BLOCK_TIME = 0.05
INPUT_FRAMES_PER_BLOCK = int(RATE*INPUT_BLOCK_TIME)# Which Channel? (L or R)
LR = "l"class SpectrumAnalyzer():def __init__(self):self.pa = pyaudio.PyAudio()self.initMicrophone()self.initUI()def find_input_device(self):device_index = None            for i in range(self.pa.get_device_count()):     devinfo = self.pa.get_device_info_by_index(i)if devinfo["name"].lower() in ["mic","input"]:device_index = ireturn device_indexdef initMicrophone(self):device_index = self.find_input_device()self.stream = self.pa.open(	format = FORMAT,channels = CHANNELS,rate = RATE,input = True,input_device_index = device_index,frames_per_buffer = INPUT_FRAMES_PER_BLOCK)def readData(self):block = self.stream.read(INPUT_FRAMES_PER_BLOCK)count = len(block)/2format = "%dh"%(count)shorts = struct.unpack( format, block )if CHANNELS == 1:return np.array(shorts)else:l = shorts[::2]r = shorts[1::2]if LR == 'l':return np.array(l)else:return np.array(r)def initUI(self):self.app = QtWidgets.QApplication([]) # self.app = QtGui.QApplication([])self.app.quitOnLastWindowClosed()self.mainWindow = QtWidgets.QMainWindow()self.mainWindow.setWindowFlags(Qt.FramelessWindowHint | Qt.WindowStaysOnTopHint)self.mainWindow.setWindowTitle("Spectrum Analyzer")self.mainWindow.setGeometry(100, 100, 300, 200)#self.mainWindow.resize(800,300)self.centralWid = QtWidgets.QWidget()self.mainWindow.setCentralWidget(self.centralWid)self.lay = QtWidgets.QVBoxLayout()self.centralWid.setLayout(self.lay)self.specWid = pg.PlotWidget(name="spectrum")self.specItem = self.specWid.getPlotItem()self.specItem.setMouseEnabled(y=False)self.specItem.setYRange(0,1000)self.specItem.setXRange(-RANGE,RANGE, padding=0)self.specAxis = self.specItem.getAxis("bottom")self.specAxis.setLabel("Frequency [Hz]")self.lay.addWidget(self.specWid)self.mainWindow.show()self.app.aboutToQuit.connect(self.close)def close(self):self.stream.close()sys.exit()def get_spectrum(self, data):T = 1.0/RATEN = data.shape[0]Pxx = (1./N)*np.fft.fft(data)f = np.fft.fftfreq(N,T)Pxx = np.fft.fftshift(Pxx)f = np.fft.fftshift(f)return f.tolist(), (np.absolute(Pxx)).tolist()def mainLoop(self):while 1:# Sometimes Input overflowed because of mouse events, ignore thistry:data = self.readData()except IOError:continuef, Pxx = self.get_spectrum(data)self.specItem.plot(x=f,y=Pxx, clear=True)QtWidgets.QApplication.processEvents()if __name__ == '__main__':sa = SpectrumAnalyzer()sa.mainLoop()

CG

Record audio stream from a microphone to wav files (with overlaps) using pyaudio
How to write pyaudio output into audio file?
https://cloud.tencent.com/developer/ask/sof/113102996
https://pypi.org/project/soundfile/
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